This plugin aChor was designed only for polygon shapefile dataset
  You may download a test dataset here:  http://tiny.cc/xspc0y

The method of the algorithm: https://tinyurl.com/y99tk8gx

Your default aChor plugin directory is located at:
  Windows QGIS3:C:/OSGeo4W/apps/qgis/python/plugins/aChor
  Linux QGIS3:/home/user_name/.local/share/QGIS/QGIS3/profiles/default/python/plugins/aChor

Before you deploy the plugin:

• This plugin using fiona, shapely, gdal, pysal and Rtree libraries.
• Rtree must be version 0.8.3 or above.
• To install python packages, please using pip or easy_install in OSGEO4W shell.
• Linux:
  sudo wget http://ftp.de.debian.org/debian/pool/main/p/python-rtree/python-rtree_0.8.3+ds-1_all.deb
  sudo apt install /filedir/python-rtree_0.8.3+ds-1_all.deb
• Windows: python -m pip install Rtree-0.8.3-cp36-cp36m-win_amd64.whl
• For windows python packages, you may download them here:http://www.lfd.uci.edu/~gohlke/pythonlibs/#fiona
• Check if libraries successfully installed, open the OSGEO4W shell and try to import them.
• C:\> py3_env
  
• C:\> python
  >>> import rtree
  >>> import fiona
  >>> import shapely
  >>> import pysal
  >>> import sklearn
  >>> import dbf

Notes:

• GitHub for bug report and tracking: https://github.com/Ariel505/aChor/issues/
  
• You can also run the classification from OSGeo4W command shell.
  
  Usage: 
  python  class_achor.py  [class_num]  [sweep_interval]  [field_name]  [shapefile]  [method]
  

  [Method]:
  1:  Localextremes (max and min)
  2:  Localmax
  3:  Localmin
  4:  Hotspot and coldspot
  5:  Neighbors
  6:  Clusters

  for example:
  python  class_achor.py  10  0.2  SUMME  Hamburg.shp  -m  1

For more information on aChor project, please visit aChor project website for further information.